Joseph Gallego-Mejia

CoRR, 2023

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.

[BibT_eX]

[DOI]

Matt Allen

Francisco Dorr

Freddie Kalaitzis

Raúl Ramos-Pollán

CoRR, 2023

Fewshot learning on global multimodal embeddings for earth observation tasks.

[BibT_eX]

[DOI]

Matt Allen

Francisco Dorr

Freddie Kalaitzis

Raúl Ramos-Pollán

CoRR, 2023

Quantum Kernel Mixtures for Probabilistic Deep Learning.

[BibT_eX]

[DOI]

Raúl Ramos-Pollán

CoRR, 2023

DEMANDE: Density Matrix Neural Density Estimation.

[BibT_eX]

[DOI]

IEEE Access, 2023

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract).

[BibT_eX]

[DOI]

Oscar A. Bustos-Brinez

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection.

[BibT_eX]

[DOI]

Oscar Bustos-Brinez

CoRR, 2022

AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features.

[BibT_eX]

[DOI]

Oscar Bustos-Brinez

CoRR, 2022

Risk Automatic Prediction for Social Economy Companies Using Camels.

[BibT_eX]

[DOI]

Daniela Martin-Vega

Proceedings of the Applied Computer Sciences in Engineering, 2022

InQMAD: Incremental Quantum Measurement Anomaly Detection.

[BibT_eX]

[DOI]

Oscar Bustos-Brinez